def main():
# read config
config = ConfigParser.ConfigParser()
config.read('zero-shot.cfg')
dataset = config.get('data', 'dataset')
method = config.get('model', 'method')
# load data
data = load_data.run(dataset, method, config)
# train model
model.run(data, method, config)
def __init__(self, config):
self.config = config
self.character = config['CHARACTER']
self.EOS = "eos"
self.vocab, self.trainset, self.devset, self.testset = load_data.run(self.character)
self.int2input = list(self.vocab['input'])
self.input2int = {c:i for i, c in enumerate(self.vocab['input'])}
self.int2output = list(self.vocab['output'])
self.output2int = {c:i for i, c in enumerate(self.vocab['output'])}
self.init(config)
import allqueries
import load_data
import numpy as np
cam_numbers = [120] #np.linspace(30,130,11)
exp_results = []
for i in cam_numbers:
cam_n = int(i)
load_data.run(cam_n)
results = np.zeros(7)
for j in range(1):
cost1, recall1, precision1 = allqueries.run(cam_n, 0)
cost2, recall2, precision2, delay = allqueries.run(cam_n, 1, 0)
results[0] += cost1
results[1] += recall1
results[2] += precision1
results[3] += cost2
results[4] += recall2
results[5] += precision2
results[6] += delay
results = results / 1
exp_results.append((i, results[0], results[1], results[2], results[3],
results[4], results[5]))
print("=> Camera number : ", i)
print(" model | # cost | # recall | # precision")
print(" ------------------------------")
print(" basel | {:8f} | {:8f} | {:8f} |".format(
results[0], results[1], results[2]))
print(" rexcamo | {:8f} | {:8f} | {:8f} |".format(
results[3], results[4], results[5]))